Deep reinforcement learning-based dynamic lightpath provisioning for elastic optical networks

In this paper, we develop a deep reinforcement learning-based routing, modulation format and spectrum assignment (RMSA) algorithm for elastic optical networks capable of provisioning dynamically lightpath services. In order to enhance the network performance, the developed RMSA exploits deep reinforcement learning (DRL) mechanism for selecting efficient route and spectral resource by learning experiences of dynamic lightpath provisioning.